Title: Artificial intelligence makes computers lazy
Author: Simon Kent, Nayna Patel
Brunel University, Uxbridge, Middlesex UB8 3PH, UK.
Brunel University, Uxbridge, Middlesex UB8 3PH, UK
Abstract: This paper looks at the age-old problem of trying to instil some degree of intelligence in computers. Genetic Algorithms (GA) and Genetic Programming (GP) are techniques that are used to evolve a solution to a problem using processes that mimic natural evolution. This paper reflects on the experience gained while conducting research applying GA and GP to two quite different problems: Medical Diagnosis and Robot Path Planning. An observation is made that when these algorithms are not applied correctly the computer seemingly exhibits lazy behaviour, arriving at a suboptimal solutions. Using examples, this paper shows how this 'lazy' behaviour can be overcome.
Keywords: genetic programming; genetic algorithms; artificial intelligence; classification; medical diagnosis; path planning.
Int. J. of Industrial and Systems Engineering, 2006 Vol.1, No.4, pp.519 - 532
Available online: 18 Jul 2006